AccessWave · 5 hours ago
Senior Machine Learning Engineer
UNAVAILABLE, NY, US
Full-time
Onsite
Senior Level
$120K/yr - $200K/yr
5+ years expKnaq Inc. is a company that helps airports keep critical equipment running with real-time data and predictive insights. They are seeking an experienced Machine Learning Engineer to own their predictive maintenance platform, developing and deploying AI/ML models that prevent equipment failures before they happen.
Commercial InsuranceEmployee BenefitsLife Insurance
Responsibilities
Own the complete predictive maintenance pipeline: data ingestion, feature engineering, model development, deployment, monitoring, and continuous improvement
Develop models that predict equipment failures across elevators, escalators, HVAC systems, pumps, and other industrial equipment before they occur
Work with noisy, real-world sensor data from hundreds of different equipment configurations, manufacturers, and operating conditions. Build systems that are robust to data quality issues and missing information
Deploy models into production infrastructure and ensure they perform reliably in live environments serving major institutions
Monitor model performance, identify drift or degradation, and iterate to maintain prediction accuracy as new equipment and failure modes are encountered
Collaborate with the engineering team to integrate predictions into our customer-facing platform, APIs, and alerting systems
Analyze field results and customer feedback to identify areas where prediction accuracy can be improved, or new failure modes can be detected
Build tools and infrastructure to streamline your own workflow and enable faster experimentation and deployment
Qualification
Required
5+ years of experience developing and deploying machine learning models in production environments, with demonstrated impact on business outcomes
Strong foundation in machine learning fundamentals with specific expertise in time-series analysis, anomaly detection, and predictive modeling
Proven ability to work with messy, real-world data and build robust systems that handle missing values, noise, and varying data quality
Proficiency in Python and the ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch, etc.). Experience with deployment frameworks and MLOps practices
Track record of owning complex technical projects from conception through deployment and maintenance
Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
Preferred
Experience with predictive maintenance, industrial IoT data, or condition-based monitoring systems
Familiarity with industrial equipment (elevators, HVAC, pumps, etc.) is a plus but not required
Benefits
Competitive Series A compensation and benefits package
Company
AccessWave
AccessWave offers insurance brokerage, benefits consulting, and professional networking events for businesses.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Bill Williams
Founder & CEO
Company data provided by crunchbase